Research Article
The Application of Big Data in Overseas Investment Risk Avoidance
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328734, author={Huiqun Liu and Yibing Shan}, title={The Application of Big Data in Overseas Investment Risk Avoidance}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={big data; overseas investment risk; risk avoidance; overseas investment enterprises}, doi={10.4108/eai.2-12-2022.2328734} }- Huiqun Liu
Yibing Shan
Year: 2023
The Application of Big Data in Overseas Investment Risk Avoidance
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328734
Abstract
Affected by the COVID-19, the international trade situation is becoming more and more complex. Because our country and the investment inward countries have the different geo-graphical location, economic development level, political environment, diverse cultural and religious backgrounds and other factor, China's overseas investment enterprises will face many risks. In the digital economy, big data plays an important part in overseas investment risk avoidance, which can help to collect information, predict market demand, assess in-vestment risks and evaluate investor preferences. By applying the principal component analysis, this paper analyzes 15 countries where Chinese overseas investment is more fre-quent during the three years from 2018 to 2020, which found that the top three risk indica-tors in the weight of overseas investment risk are ethnic tensions, internal conflict and reli-gious tensions, which have a relatively large impact on overseas investment. In order to avoid overseas investment risks, big data can be used for risk identification, risk assess-ment, risk warning and risk disposal to avoid risks.
